Chainer
v3.2.0
  • Tutorial
    • Introduction to Chainer
    • How to Write a New Network
    • How to Train a Network
      • How to write a training loop in Chainer
      • Let’s try using the Trainer feature
    • Using GPU(s) in Chainer
    • Customizing Chainer
    • Type check
  • Reference Manual

Development

  • API Compatibility Policy
  • Contribution Guide

Misc

  • Installation Guide
  • Tips and FAQs
  • Upgrade Guide from v1 to v2
  • Comparison with Other Frameworks
  • License
Chainer
  • Docs »
  • Tutorial »
  • How to Train a Network
  • Edit on GitHub

How to Train a Network¶

  • How to write a training loop in Chainer
    • 1. Prepare a dataset
    • 2. Create a dataset iterator
    • 3. Define a network
    • 4. Select an optimization algorithm
    • 5. Write a training loop
    • 6. Save the trained model
    • 7. Perform classification by the saved model
  • Let’s try using the Trainer feature
    • 1. Prepare the dataset
    • 2. Prepare the dataset iterations
    • 3. Prepare the model
    • 4. Prepare the Updater
    • 5. Setup Trainer
    • 6. Add Extensions to the Trainer object
    • 7. Start Training
    • 8. Evaluate a pre-trained model
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